Ryen W. White
Matthew Richardson
ABSTRACT
Synchronous social question-and-answer (Q&A) systems match askers to answerers and support real-time dialog between them to resolve questions. These systems typically find answerers based on the degree of expertise match with the asker's initial question. However, since synchronous social Q&A involves a dialog between asker and answerer, differences in expertise may also matter (e.g., extreme novices and experts may have difficulty establishing common ground). In this poster we use data from a live social Q&A system to explore the impact of expertise differences on answer quality and aspects of the dialog itself. The findings of our study suggest that synchronous social Q&A systems should consider the relative expertise of candidate answerers with respect to the asker, and offer interactive dialog support to help establish common ground between askers and answerers.
- Balog, K. et al. (2006). Formal models for expert finding in enterprise corpora. SIGIR, 43--50. Google Scholar
Digital Library
- Falzon, P. (1991). Cooperative dialogues. In Rasmussen, J., Brehmer, B. and Leplat, J. Distributed Decision Making: Cognitive Models for Cooperative Work, 145--189.Google Scholar
- Horowitz, D. and Kamvar, S.D. (2010). The anatomy of a large social search engine. WWW, 431--440. Google ScholarDigital Library
- Issacs, E.A. and Clark, H. (1987). References in conversations between experts and novices. J. Exp. Psych., 116(1): 26--37.Google ScholarCross Ref
- McCarthy, J.C et al. (1991). An experimental study of com-mon ground in text-based communication. SIGCHI, 209--215. Google ScholarDigital Library
- Pollack, M.E. (1985). Information sought and information provided: an empirical study of user/expert dialogues. SIGCHI, 155--159. Google ScholarDigital Library
- Smirnova, E. and Balog, K. (2011). A user-oriented model for expert finding. ECIR, 580--592. Google ScholarDigital Library
- Spärck-Jones, K. et al. (2000). A probabilistic model of in-formation retrieval. IP&M, 36(6): 779--840. Google ScholarDigital Library
- White, R.W. et al. (2011). Effects of community size and contact rate in synchronous social Q&A. SIGCHI, 2837--2846. Google ScholarDigital Library
Index Terms
- Effects of expertise differences in synchronous social Q&A
Recommendations
Effects of community size and contact rate in synchronous social q&a
CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing SystemsSocial question-and-answer (Q&A) involves the location of answers to questions through communication with people. Social Q&A systems, such as mailing lists and Web forums are popular, but their asynchronous nature can lead to high answer latency. ...
Clarifications and question specificity in synchronous social Q&A
CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing SystemsSynchronous social question-and-answer (Q&A) systems help people find answer by connecting them with others via instant messaging. To understand how such systems can quickly and effectively establish fruitful connections, we analyze conversations ...
Supporting synchronous social q&a throughout the question lifecycle
WWW '11: Proceedings of the 20th international conference on World wide webSynchronous social Q&A systems exist on the Web and in the enterprise to connect people with questions to people with answers in real-time. In such systems, askers' desire for quick answers is in tension with costs associated with interrupting numerous ...
Comments